Friedman statistic and p-value across iterations. by Marwah Salman (22593380)

“…<div><p>The direct current (DC) in optical orthogonal frequency division multiplexing (DCO-OFDM) scheme is commonly adopted in light fidelity (Li-Fi) technology as it offers a spectrally efficient solution. A prior study adopted a machine learning (ML)-based solution to predict the optimum DC bias using key parameters, including the statistical properties of the OFDM transmitted signal and a polynomial regression model. …”

The effect of DC bias on clipping noise variance. by Marwah Salman (22593380)

“…<div><p>The direct current (DC) in optical orthogonal frequency division multiplexing (DCO-OFDM) scheme is commonly adopted in light fidelity (Li-Fi) technology as it offers a spectrally efficient solution. A prior study adopted a machine learning (ML)-based solution to predict the optimum DC bias using key parameters, including the statistical properties of the OFDM transmitted signal and a polynomial regression model. …”

Performance of RF regression model. by Marwah Salman (22593380)

“…<div><p>The direct current (DC) in optical orthogonal frequency division multiplexing (DCO-OFDM) scheme is commonly adopted in light fidelity (Li-Fi) technology as it offers a spectrally efficient solution. A prior study adopted a machine learning (ML)-based solution to predict the optimum DC bias using key parameters, including the statistical properties of the OFDM transmitted signal and a polynomial regression model. …”

Table 1_RfaH contributes to maximal colonization and full virulence of hypervirulent Klebsiella pneumoniae.docx by Yichuan Qiu (13302081)

“…We found that the ΔrfaH mutant led to a significantly decreased mortality of K. pneumoniae in a mouse intraperitoneal infection model. …”

Fasting inhibits glycolysis and migration/invasion in gallbladder cancer via PCBP2/ANGPTL4 signaling by Ying Tao (469347)

“…PBCP2 was upregulated in GBC tumor tissues and cells. Moreover, PCBP2 is a key downstream target of fasting, and fasting decreases PCBP2 expression in GBC cells. …”

The efficacy of metformin in counteracting olanzapine-induced hyperprolactinemia: an open-label prospective study by Kah Kheng Goh (4983368)

“…</p> <p>After eight weeks of metformin intervention, prolactin levels significantly decreased from 39.7 ± 20.0 ng/mL at baseline to 35.7 ± 15.7 ng/mL (<i>p</i> = 0.005) with a moderate effect size (Cohen’s <i>d</i> = 0.545). …”

Genome-wide association analysis provides insights into the genomics and extracellular expression of <i>Staphylococcus aureus</i> proteases by Shuxian Li (20556455)

“…Population-scale genomic variation was compared with strains from a sequenced- defined transposon library, validating the function of 27 loci that were significantly associated with decreased protease expression. …”

Natural selection diagram. by Yanchun Li (248761)

“…Additionally, the variation in node utilization rates significantly decreased from 30.1% to 12.25%, markedly enhancing resource scheduling efficiency and overall balance within the supply chain.…”

Improved optimization results. by Yanchun Li (248761)

“…Additionally, the variation in node utilization rates significantly decreased from 30.1% to 12.25%, markedly enhancing resource scheduling efficiency and overall balance within the supply chain.…”

Gene comparison map before and after mutation. by Yanchun Li (248761)

“…Additionally, the variation in node utilization rates significantly decreased from 30.1% to 12.25%, markedly enhancing resource scheduling efficiency and overall balance within the supply chain.…”

Recombinant gene map. by Yanchun Li (248761)

“…Additionally, the variation in node utilization rates significantly decreased from 30.1% to 12.25%, markedly enhancing resource scheduling efficiency and overall balance within the supply chain.…”

model comparison (Idle/%). by Yanchun Li (248761)

“…Additionally, the variation in node utilization rates significantly decreased from 30.1% to 12.25%, markedly enhancing resource scheduling efficiency and overall balance within the supply chain.…”

Comparison chart of use of each node. by Yanchun Li (248761)

“…Additionally, the variation in node utilization rates significantly decreased from 30.1% to 12.25%, markedly enhancing resource scheduling efficiency and overall balance within the supply chain.…”

Original optimization results. by Yanchun Li (248761)

“…Additionally, the variation in node utilization rates significantly decreased from 30.1% to 12.25%, markedly enhancing resource scheduling efficiency and overall balance within the supply chain.…”

Selection of crossing point. by Yanchun Li (248761)

“…Additionally, the variation in node utilization rates significantly decreased from 30.1% to 12.25%, markedly enhancing resource scheduling efficiency and overall balance within the supply chain.…”

Operator parameter setting of improved GA. by Yanchun Li (248761)

“…Additionally, the variation in node utilization rates significantly decreased from 30.1% to 12.25%, markedly enhancing resource scheduling efficiency and overall balance within the supply chain.…”

Product supply sequence diagram. by Yanchun Li (248761)

“…Additionally, the variation in node utilization rates significantly decreased from 30.1% to 12.25%, markedly enhancing resource scheduling efficiency and overall balance within the supply chain.…”

Crossed offspring chromosomes. by Yanchun Li (248761)

“…Additionally, the variation in node utilization rates significantly decreased from 30.1% to 12.25%, markedly enhancing resource scheduling efficiency and overall balance within the supply chain.…”

GA iteration graph. by Yanchun Li (248761)

“…Additionally, the variation in node utilization rates significantly decreased from 30.1% to 12.25%, markedly enhancing resource scheduling efficiency and overall balance within the supply chain.…”

The state of each node after improvement. by Yanchun Li (248761)

“…Additionally, the variation in node utilization rates significantly decreased from 30.1% to 12.25%, markedly enhancing resource scheduling efficiency and overall balance within the supply chain.…”